Mining, analyzing, and integrating viral signals from metagenomic data

BACKGROUND: Viruses are important components of microbial communities modulating community structure and function; however, only a couple of tools are currently available for phage identification and analysis from metagenomic sequencing data. Here we employed the random forest algorithm to develop V...

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Detalles Bibliográficos
Autores principales: Zheng, Tingting, Li, Jun, Ni, Yueqiong, Kang, Kang, Misiakou, Maria-Anna, Imamovic, Lejla, Chow, Billy K. C., Rode, Anne A., Bytzer, Peter, Sommer, Morten, Panagiotou, Gianni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425642/
https://www.ncbi.nlm.nih.gov/pubmed/30890181
http://dx.doi.org/10.1186/s40168-019-0657-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425642/
https://www.ncbi.nlm.nih.gov/pubmed/30890181
http://dx.doi.org/10.1186/s40168-019-0657-y

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